… NVIDIA Blackwell Ultra GB300 is 20 Times Faster Than Hopper In Agentic AI, Records Highest Performance In Latest Benchmarks Artificial Analysis has a new benchmark out called AA-AgentPerf , which measures how many active agents an inference deployment can support under realistic workloads, which in… …
… DGX Station With GB300 Is A Super Workstation PC, & You Can Now Easily Run Super AI Agents On It With NVIDIA's Agent Toolkit Agentic AI has brought new kinds of use cases for PCs, especially powerful ones such as NVIDIA's DGX Station, which packs the GB300 "Blackwell Ultra" GPU. …
… Notably, Qwen 3.7-Max can autonomously execute long-horizon agentic tasks—sustaining continuous operation for up to 35 hours and managing over 1,000 tool calls without performance degradation. …
… AMD Says That Its EPYC CPUs Are Delivering Rack-Scale CPU Performance Today, Destroying Both NVIDIA Vera & Intel Xeon Within Agentic AI Workloads Agentic AI is pushing all major manufacturers to accelerate their CPU development as they race to drive multi-GW AI factories. …
… RL and Agentic AI Performance – Highlights Vera’s value for latency-sensitive, branch-heavy, and highly concurrent agent environments. …
… The 26B and 31B models are designed for high-performance reasoning and developer-centric workflows, making them well-suited for agentic AI. …
… NVIDIA We have already mentioned how Perplexity was able to achieve a 50% uplift in its Agentic AI workflows versus traditional x86 CPUs. In concurrent sandboxes, this performance is up by 90%. …
… The new high-performance computing datacenter for Agentic AI houses an advanced, purpose-built architecture that unifies performance-optimized hardware for compute, storage, networking, open software, and ML frameworks. …
… Related Story RTX Spark To Encourage Industry Towards Lighter Laptops With Less Bulky Cooling Solutions, As Surface Laptop Ultra Targets A 110W TDP What it is — NVIDIA’s first custom CPU, designed for agentic AI What it handles — Orchestration, tool-calling, RL workloads, data analytics, agent sand… …
… For agentic AI, reinforcement learning, and cloud services—where many short-running tasks execute concurrently and tail latency matters—this can increase variability and make performance less predictable. …
